code: def forward(self, x):
      with torch.cuda.amp.autocast(self.fp16):
          x = self.conv1(x)
          x = self.bn1(x)
          x = self.prelu(x)
          x = self.layer1(x)
          x = self.layer2(x)
          x = self.layer3(x)
          x = self.layer4(x)
          x = self.bn2(x)
          x = torch.flatten(x, 1)
          x = self.dropout(x)
      x = self.fc(x.float() if self.fp16 else x)
      x = self.features(x)
      return x
  
file_path: insightface/recognition/vpl/backbones/iresnet.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 3 for calling the IResNet obj's underlying member method code with example usage: obj.forward(x) and returns: x